Online edition: ISSN 2432-6380
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EA2022-1
An Experimental Study on Electrical Noise Caused by Mechanical Vibration of Audio Equipment
-- An Effect of Vibration on an Amplifier --
Masahide Kita, Kiminobu Nishimura (Kindai Univ.)
pp. 1 - 6
EA2022-2
Direction estimation system using a monaural microphone for rescuing people buried under rubble
Ayumi Matsumoto, Kazuyuki Arikawa, Hiroki Miyazako, Keisuke Hasegawa, Takaaki Nara (Univ. of Tokyo)
pp. 7 - 13
EA2022-3
Elastic wave and electromagnetic waveguide analysis
-- Configuration technology about ΔV/V waveguide and intrinsic vibration mode --
Kazuyuki Ouchi (WDL)
pp. 14 - 17
EA2022-4
Directionally-weighted region-to-region kernel interpolation of acoustic transfer function
Juliano G. C. Ribeiro, Shoichi Koyama, Hiroshi Saruwatari (UTokyo)
pp. 18 - 19
EA2022-5
Fast Blind Source Separation in Noisy Reverberant Environments Using Independent Vector Extraction
Rintaro Ikeshita, Tomohiro Nakatani (NTT)
pp. 20 - 25
EA2022-6
Generalized Rank-1 Update of Separation Matrix for Blind Source Separation
Nobutaka Ono (TMU)
pp. 26 - 29
EA2022-7
Acoustic diagnosis and monitoring for high voltage switchgear
Takashi Endo, Purohit Harsh, Yohei Kawaguchi (Hitachi)
pp. 30 - 34
EA2022-8
A serial anomalous sound detection method using outlier exposure based on two types of binary classification
Ibuki Kuroyanagi (Nagoya Univ.), Tomoki Hayashi (Nagoya Univ./HDL/), Kazuya Takeda, Tomoki Toda (Nagoya Univ.)
pp. 35 - 40
EA2022-9
Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model
Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Kunio Kashino (NTT)
pp. 41 - 45
EA2022-10
Quantitative Acoustic Evaluation of Record Players
Ryusei Ikegami, Naoki Wakui, Syouhei Yano (NITNC)
pp. 46 - 49
EA2022-11
Examining personal differences by bone-conduction earphone
Ryotaro Kainuma, Shohei Yano (NITNC)
pp. 50 - 53
EA2022-12
Study on noise reduction with a single noisy speech based on Double-DIP
Hien Oonaka (NITTC), Takuya Fujimura (Nagoya Univ.), Ryoichi Miyazaki (NITTC)
pp. 54 - 61
EA2022-13
Basic study for permutation solver based on deep neural networks
Fumiya Hasuike, Rui Watanabe, Daichi Kitamura (NIT, Kagawa)
pp. 62 - 67
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.